Description: 运用模糊算法和PID调节控制开关磁阻电机的调速。采用的单片机是Intel的80c196KB,编程语言为PL/M.-Using fuzzy algorithm and PID Control of Switched Reluctance Motor Speed Control. Single-chip microcomputer is used in Intel s 80c196KB, programming language for PL/M. Platform: |
Size: 67584 |
Author:周宣 |
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Description: DC Motor Speed Control using Fuzzy Logic based on LabVIEW
Thepsatorn, P. Numsomran, A. Tipsuwanporn, V. Teanthong, T.
SICE-ICASE, 2006. International Joint Conference
18-21 Oct. 2006 Page(s):3617 - 3620
Digital Object Identifier 10.1109/SICE.2006.314890 -DC Motor Speed Control using Fuzzy Logic based on LabVIEW
Thepsatorn, P. Numsomran, A. Tipsuwanporn, V. Teanthong, T.
SICE-ICASE, 2006. International Joint Conference
18-21 Oct. 2006 Page(s):3617- 3620
Digital Object Identifier 10.1109/SICE.2006.314890 Platform: |
Size: 2297856 |
Author:boyang |
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Description: 直流伺服电机用MATLAB实现的源代码，伺服系统由具有位置反馈、速度反馈和电流反馈的三闭环结构组成本控制系统采用模糊和PID复合控制，在小偏差时转化为P ID控制，这样就获得了比纯模糊控制更高的稳态精度，有比P ID控制更快的动态响应、更小的超调量。-DC servo motor to achieve with the MATLAB source code, by a position feedback servo system, the speed feedback and current feedback loop structure composed of three of the control system using fuzzy and PID compound control, in a small deviation into the P ID control, so that access to higher than the pure fuzzy control steady-state accuracy, faster than P ID control the dynamic response, smaller overshoot. Platform: |
Size: 44032 |
Author:Lily |
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Description: 利用模糊控制做巡航速度控制利用e, dot_e，當作兩個輸入，取交集在對輸出值u做砍頭的動作，再用重心法求解，再用Runge-Kutta做疊代更改增益值將會得到不一樣的結果。-Using fuzzy control to do cruise speed control using e, dot_e, as the two inputs, the output value of taking the intersection of the decapitation of the movement u do, then the center of gravity method, Runge-Kutta and then make iterative changes to the gain value will be get different results. Platform: |
Size: 2048 |
Author:POPE0910 |
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Description: FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。-FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking Platform: |
Size: 6345728 |
Author:盧志豪 |
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Description: control the speed of the motor using fuzzy logic controller in combination with conventional controller under parametric variation, load disturbances and non linearity and also we can achieve wide dynamic range when compared to conventional methods. Platform: |
Size: 591872 |
Author:pss |
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Description: It is well known that the production of hot coils in uniform thickness depends on various process parameters such as the material, the
number of rolling stages, the reduction ratio of the thickness, the rolling speed, the front and back tensions, the friction between the material
and rolls, the rolling temperature, and the rolling force at each stage of rolling. In the present study, the effect of front and back tensions on
reducing the thickness deviations of hot rolled steel strips were investigated by developing a fuzzy control algorithm. In order to derive the
fuzzy control rules, rigid±viscoplastic ® nite element simulations were carried out using the material property determined from the
production data. Platform: |
Size: 427008 |
Author:Diamant |
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Description: Abstract
This paper present heuristics based study of multi area power network. Heuristic procedures involving Particle Swarm
Intelligence and Fuzzy based inferences have been employed to effectively obtain the optimized gains of PID controller. Any
change in the load demand causes generator’s shaft speed lower than the pre-set value and the system frequency deviates
the standard value results in malfunctioning of frequency relays. A five area load frequency model is constructed in -Abstract
This paper present heuristics based study of multi area power network. Heuristic procedures involving Particle Swarm
Intelligence and Fuzzy based inferences have been employed to effectively obtain the optimized gains of PID controller. Any
change in the load demand causes generator’s shaft speed lower than the pre-set value and the system frequency deviates
the standard value results in malfunctioning of frequency relays. A five area load frequency model is constructed in Platform: |
Size: 870400 |
Author:Gomaa Haroun |
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Search - speed control using fuzzy